ICDM 2010 Conference Information The 10th IEEE ...ICDM 2010 The 10th IEEE International Conference on Data Mining 14-17 December 2010 Sydney, Australia Conference Information Papers

ICDM 2010

The 10th IEEE International Conference on Data Mining 14-17 December 2010 Sydney, Australia

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4. TITLE AND SUBTITLE The IEEE International Conference on Data Mining (10th) Held inSydney, Australia on 14-17 December 2010

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14. ABSTRACT The proceedings of the conference is in the form of a CD. The conference covers all aspects of data mining,including algorithms, software and systems, and applications. Thus the topics ranges from statistics,machine learning, pattern recognition, databases and data warehousing, data visualization,knowledge-based systems to high performance computing. This proceedings contains the keynote abstracts(3), regular papers (72), short papers (83) and tutorial abstracts (4).

15. SUBJECT TERMS Data Mining, Machine Learning, Artificial Intelligence, Knowledge Acquisition, Knowledge Discovery

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Conference Information

2010 IEEE International Conference on Data Mining

q Welcome Message from the Conference Chairsq Message from the Program Committee Co-Chairsq Organizing Committeeq Program Committeeq Title Page (Book version)q Copyright Page (Book version)q Table of Contents (Book version)q Author Index (Book version)q Publisher Information (Book version)

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Sessions

q Keynote Abstractsq Regular Papersq Short Papersq Tutorials


Papers by Session

Keynote Abstracts

q Mining Billion-node Graphs: Patterns, Generators and ToolsChristos Faloutsos

q Assessing the Significance of Groups in High-Dimensional DataGeoff McLachlan

q 10 Years of Data Mining Research: Retrospect and ProspectXindong Wu


Papers by Session

Regular Papers

q Detecting Novel Discrepancies in Communication NetworksJames Abello, Tina Eliassi-Rad, and Nishchal Devanur

q Multi-agent Random Walks for Local Clustering on GraphsMorteza Alamgir and Ulrike von Luxburg

q Spatiotemporal Event Detection in Mobility NetworkTom S. Au, Rong Duan, Heeyoung Kim, and Guang-Qin Ma

q An Unsupervised Approach to Modeling Personalized Contexts of Mobile UsersTengfei Bao, Happia Cao, Enhong Chen, Jilei Tian, and Hui Xiong

q Fast and Flexible Multivariate Time Series Subsequence SearchKanishka Bhaduri, Qiang Zhu, Nikunj C. Oza, and Ashok N. Srivastava

q iSAX 2.0: Indexing and Mining One Billion Time SeriesAlessandro Camerra, Themis Palpanas, Jin Shieh, and Eamonn Keogh

q Abstraction Augmented Markov ModelsCornelia Caragea, Adrian Silvescu, Doina Caragea, and Vasant Honavar

q A Graph-Based Approach for Multi-folder Email ClassificationSharma Chakravarthy, Aravind Venkatachalam, and Aditya Telang


Papers by Session

q Scalable Influence Maximization in Social Networks under the Linear ThresholdModel

Wei Chen, Yifei Yuan, and Li Zhang

q CLUSMASTER: A Clustering Approach for Sampling Data Streams in SensorNetworks

Alzennyr Da Silva, Raja Chiky, and Georges Hebrail

q Bayesian Maximum Margin ClusteringBo Dai, Baogang Hu, and Gang Niu

q Viral Marketing for Multiple ProductsSamik Datta, Anirban Majumder, and Nisheeth Shrivastava

q Finding Local Anomalies in Very High Dimensional SpaceTimothy de Vries, Sanjay Chawla, and Michael E. Houle

q PGLCM: Efficient Parallel Mining of Closed Frequent Gradual ItemsetsTrong Dinh Thac Do, Anne Laurent, and Alexandre Termier

q Sequential Latent Dirichlet Allocation: Discover Underlying Topic Structureswithin a Document

Lan Du, Wray Lindsay Buntine, and Huidong Jin


Papers by Session

q Subgroup Discovery Meets Bayesian Networks—An Exceptional Model MiningApproach

Wouter Duivesteijn, Arno Knobbe, Ad Feelders, and Matthijs van Leeuwen

q Feature Selection for Unsupervised Learning Using Random Cluster EnsemblesHaytham Elghazel and Alex Aussem

q Learning Attribute-to-Feature Mappings for Cold-Start RecommendationsZeno Gantner, Lucas Drumond, Christoph Freudenthaler, Steffen Rendle,and Lars Schmidt-Thieme

q An Extensive Empirical Study on Semi-supervised LearningYuanyuan Guo, Xiaoda Niu, and Harry Zhang

q Efficient Discovery of the Top-K Optimal Dependency Rules with Fisher’s ExactTest of Significance

Wilhelmiina Hämäläinen

q A Variance Reduction Framework for Stable Feature SelectionYue Han and Lei Yu

q Exponential Family Tensor Factorization for Missing-Values Predictionand Anomaly Detection

Kohei Hayashi, Takashi Takenouchi, Tomohiro Shibata, Yuki Kamiya, Daishi Kato,Kazuo Kunieda, Keiji Yamada, and Kazushi Ikeda


Papers by Session

q Rare Category CharacterizationJingrui He, Hanghang Tong, and Jaime Carbonell

q Algorithm for Discovering Low-Variance 3-Clusters from Real-Valued DatasetsZhen Hu and Raj Bhatnagar

q Improved Consistent Sampling, Weighted Minhash and L1 SketchingSergey Ioffe

q An Approach Based on Tree Kernels for Opinion Mining of Online ProductReviews

Peng Jiang, Chunxia Zhang, Hongping Fu, Zhendong Niu, and Qing Yang

q A Pairwise-Systematic Microaggregation for Statistical Disclosure ControlMd. Enamul Kabir, Hua Wang, and Yanchun Zhang

q Multi-label Feature Selection for Graph ClassificationXiangnan Kong and Philip S. Yu

q A Binary Decision Diagram-Based One-Class ClassifierTakuro Kutsuna

q Detecting Blackhole and Volcano Patterns in Directed NetworksZhongmou Li, Hui Xiong, Yanchi Liu, and Aoying Zhou

q Exploiting Local Data Uncertainty to Boost Global Outlier DetectionBo Liu, Jie Yin, Yanshan Xiao, Longbing Cao, and Philip S. Yu


Papers by Session

q Training Conditional Random Fields Using Transfer Learning for GestureRecognition

Jie Liu, Kai Yu, Yi Zhang, and Yalou Huang

q Stratified Sampling for Data Mining on the Deep WebTantan Liu, Fan Wang, and Gagan Agrawal

q Learning Markov Network Structure with Decision TreesDaniel Lowd and Jesse Davis

q Towards Structural Sparsity: An Explicit l2/l0 ApproachDijun Luo, Chris Ding, and Heng Huang

q Multi-document Summarization Using Minimum DistortionTengfei Ma and Xiaojun Wan

q A Log-Linear Model with Latent Features for Dyadic PredictionAditya Krishna Menon and Charles Elkan

q Edge Weight Regularization over Multiple Graphs for Similarity LearningPradeep Muthukrishnan, Dragomir Radev, and Qiaozhu Mei

q A New SVM Approach to Multi-instance Multi-label LearningNam Nguyen

q Bayesian Aggregation of Binary ClassifiersSunho Park and Seungjin Choi


Papers by Session

q Permutations as Angular Data: Efficient Inference in Factorial SpacesSergey M. Plis, Terran Lane, and Vince D. Calhoun

q Separation of Interleaved Web Sessions with Heuristic SearchMarko Poženel, Viljan Mahnic, and Matjaž Kukar

q Consequences of Variability in Classifier Performance EstimatesTroy Raeder, T. Ryan Hoens, and Nitesh V. Chawla

q Mining Sensor Streams for Discovering Human Activity Patterns over TimeParisa Rashidi and Diane J. Cook

q Decision Trees for Uplift ModelingPiotr Rzepakowski and Szymon Jaroszewicz

q Co-clustering of Lagged DataEran Shaham, David Sarne, and Boaz Ben-Moshe

q Polishing the Right Apple: Anytime Classification Also Benefits Data Streamswith Constant Arrival Times

Jin Shieh and Eamonn Keogh

q Discovering Correlated Subspace Clusters in 3D Continuous-Valued DataKelvin Sim, Zeyar Aung, and Vivekanand Gopalkrishnan


Papers by Session

q gSkeletonClu: Density-Based Network Clustering via Structure-Connected TreeDivision or Agglomeration

Heli Sun, Jianbin Huang, Jiawei Han, Hongbo Deng, Peixiang Zhao, and Boqin Feng

q LogTree: A Framework for Generating System Events from Raw Textual LogsLiang Tang and Tao Li

q Mining Closed Strict EpisodesNikolaj Tatti and Boris Cule

q Multi-dimensional Mass Estimation and Mass-based ClusteringKai Ming Ting and Jonathan R. Wells

q minCEntropy: A Novel Information Theoretic Approach for the Generationof Alternative Clusterings

Nguyen Xuan Vinh and Julien Epps

q A Conscience On-line Learning Approach for Kernel-Based ClusteringChang-Dong Wang, Jian-Huang Lai, and Jun-Yong Zhu

q Weighted Feature Subset Non-negative Matrix Factorization and Its Applicationsto Document Understanding

Dingding Wang, Tao Li, and Chris Ding

q Learning a Bi-Stochastic Data Similarity MatrixFei Wang, Ping Li, and Arnd Christian König


Papers by Session

q Active Spectral ClusteringXiang Wang and Ian Davidson

q Discovering Overlapping Groups in Social MediaXufei Wang, Lei Tang, Huiji Gao, and Huan Liu

q Adaptive Distances on Sets of VectorsAdam Woznica and Alexandros Kalousis

q SMILE: A Similarity-Based Approach for Multiple Instance LearningYanshan Xiao, Bo Liu, Longbing Cao, Jie Yin, and Xindong Wu

q Modeling Information Diffusion in Implicit NetworksJaewon Yang and Jure Leskovec

q Term Filtering with Bounded ErrorZi Yang, Wei Li, Jie Tang, and Juanzi Li

q Exploiting Unlabeled Data to Enhance Ensemble DiversityMin-Ling Zhang and Zhi-Hua Zhou

q Constraint Based Dimension Correlation and Distance Divergence for ClusteringHigh-Dimensional Data

Xianchao Zhang, Yao Wu, and Yang Qiu

q Active Learning from Multiple Noisy Labelers with Varied CostsYaling Zheng, Stephen Scott, and Kun Deng


Papers by Session

q A Novel Contrast Co-learning Framework for Generating High Quality TrainingData

Zeyu Zheng, Jun Yan, Shuicheng Yan, Ning Liu, Zheng Chen, and Ming Zhang

q Network Simplification with Minimal Loss of ConnectivityFang Zhou, Sébastien Malher, and Hannu Toivonen

q Improving Kernel Methods through Complex Data MappingHang Zhou, Fabio Ramos, and Eric Nettleton

q NESVM: A Fast Gradient Method for Support Vector MachinesTianyi Zhou, Dacheng Tao, and Xindong Wu

q Clustering Large Attributed Graphs: An Efficient Incremental ApproachYang Zhou, Hong Cheng, and Jeffrey Xu Yu

q Mother Fugger: Mining Historical Manuscripts with Local Color PatchesQiang Zhu and Eamonn Keogh

q D-LDA: A Topic Modeling Approach without Constraint Generationfor Semi-defined Classification

Fuzhen Zhuang, Ping Luo, Zhiyong Shen, Qing He, Yuhong Xiong, and Zhongzhi Shi


Papers by Session

Short Papers

q SONNET: Efficient Approximate Nearest Neighbor Using Multi-coreMohammad Al Hasan, Hilmi Yildirim, and Abhirup Chakraborty

q Two of a Kind or the Ratings Game? Adaptive Pairwise Preferences and LatentFactor Models

Suhrid Balakrishnan and Sumit Chopra

q Document Similarity Self-Join with MapReduceRanieri Baraglia, Gianmarco De Francisci Morales, and Claudio Lucchese

q Quantification via Probability EstimatorsAntonio Bella, Cèsar Ferri, José Hernández-Orallo, and María José Ramírez-Quintana

q Learning Collaborative Filtering and Its Application to People to PeopleRecommendation in Social Networks

Xiongcai Cai, Michael Bain, Alfred Krzywicki, Wayne Wobcke, Yang Sok Kim, Paul Compton,and Ashesh Mahidadia

q Approximation of Frequentness Probability of Itemsets in Uncertain DataToon Calders, Calin Garboni, and Bart Goethals

q On Finding Frequent Patterns in Event SequencesAndrea Campagna and Rasmus Pagh


Papers by Session

q Active Improvement of Hierarchical Object Features under Budget ConstraintsNicolas Cebron

q Pseudo Conditional Random Fields: Joint Training Approach to Segmentingand Labeling Sequence Data

Shing-Kit Chan and Wai Lam

q Location and Scatter Matching for Dataset Shift in Text MiningBo Chen, Wai Lam, Ivor Tsang, and Tak-Lam Wong

q Learning Preferences with Millions of Parameters by Enforcing SparsityXi Chen, Bing Bai, Yanjun Qi, Qihang Lin, and Jaime Carbonell

q QMAS: Querying, Mining and Summarization of Multi-modal DatabasesRobson L.F. Cordeiro, Fan Guo, Donna S. Haverkamp, James H. Horne, Ellen K. Hughes,Gunhee Kim, Agma J.M. Traina, Caetano Traina Jr., and Christos Faloutsos

q Block-GP: Scalable Gaussian Process Regression for Multimodal DataKamalika Das and Ashok N. Srivastava

q Active Learning with Human-Like Noisy OracleJun Du and Charles X. Ling

q Monotone Relabeling in Ordinal ClassificationAd Feelders


Papers by Session

q The Effect of History on Modeling Systems’ Performance: The Problem ofthe Demanding Lord

George Giannakopoulos and Themis Palpanas

q Resilient K-d Trees: K-Means in Space RevisitedFabian Gieseke, Gabriel Moruz, and Jan Vahrenhold

q Advertising Campaigns Management: Should We Be Greedy?Sertan Girgin, Jeremie Mary, Philippe Preux, and Olivier Nicol

q Accelerating Radius-Margin Parameter Selection for SVMs Using GeometricBounds

Ben Goodrich, David Albrecht, and Peter Tischer

q Enhancing Single-Objective Projective Clustering EnsemblesFrancesco Gullo, Carlotta Domeniconi, and Andrea Tagarelli

q Minimizing the Variance of Cluster Mixture Models for Clustering UncertainObjects

Francesco Gullo, Giovanni Ponti, and Andrea Tagarelli

q Subspace Clustering Meets Dense Subgraph Mining: A Synthesis of TwoParadigms

Stephan Günnemann, Ines Färber, Brigitte Boden, and Thomas Seidl


Papers by Session

q Multi-stream Join Answering for Mining Significant Cross-Stream CorrelationsRobert Gwadera

q Category Mining by Heterogeneous Data Fusion Using PdLSI Model in a RetailService

Tsukasa Ishigaki, Takeshi Takenaka, and Yoichi Motomura

q Content-Based Methods for Predicting Web-Site Demographic AttributesSantosh Kabbur, Eui-Hong Han, and George Karypis

q Discrimination Aware Decision Tree LearningFaisal Kamiran, Toon Calders, and Mykola Pechenizkiy

q Patterns on the Connected Components of Terabyte-Scale GraphsU. Kang, Mary McGlohon, Leman Akoglu, and Christos Faloutsos

q Attribution of Conversion Events to Multi-channel MediaBrendan Kitts, Liang Wei, Dyng Au, Amanda Powter, and Brian Burdick

q Mining Public Transport Usage for Personalised Intelligent Transport SystemsNeal Lathia, Jon Froehlich, and Licia Capra

q Micro-blogging Sentiment Detection by Collaborative Online LearningGuangxia Li, Steven C.H. Hoi, Kuiyu Chang, and Ramesh Jain

q Enforcing Vocabulary k-Anonymity by Semantic Similarity Based ClusteringJunqiang Liu and Ke Wang


Papers by Session

q Efficient Probabilistic Latent Semantic Analysis with Sparsity ControlSen Liu, Chaolun Xia, and Xiaohong Jiang

q Understanding of Internal Clustering Validation MeasuresYanchi Liu, Zhongmou Li, Hui Xiong, Xuedong Gao, and Junjie Wu

q Transfer Learning via Cluster Correspondence InferenceMingsheng Long, Wei Cheng, Xiaoming Jin, Jianmin Wang, and Dou Shen

q Supervised Link Prediction Using Multiple SourcesZhengdong Lu, Berkant Savas, Wei Tang, and Inderjit S. Dhillon

q Addressing Concept-Evolution in Concept-Drifting Data StreamsMohammad M. Masud, Qing Chen, Latifur Khan, Charu Aggarwal, Jing Gao, Jiawei Han,and Bhavani Thuraisingham

q Sparse Boolean Matrix FactorizationsPauli Miettinen

q On the Computation of Stochastic Search Variable Selection in Linear Regressionwith UDFs

Mario Navas, Carlos Ordonez, and Veerabhadran Baladandayuthapani

q Data Editing Techniques to Allow the Application of Distance-Based OutlierDetection to Streams

Vit Niennattrakul, Eamonn Keogh, and Chotirat Ann Ratanamahatana


Papers by Session

q Anomaly Detection Using an Ensemble of Feature ModelsKeith Noto, Carly Brodley, and Donna Slonim

q Assessing Data Mining Results on Matrices with RandomizationMarkus Ojala

q A Generalized Linear Threshold Model for Multiple CascadesNishith Pathak, Arindam Banerjee, and Jaideep Srivastava

q Recommending Social Events from Mobile Phone Location DataDaniele Quercia, Neal Lathia, Francesco Calabrese, Giusy Di Lorenzo, and Jon Crowcroft

q On Normalizing Fuzzy Coincidence Matrices to Compare Fuzzyand/or Possibilistic Partitions with the Rand Index

R. Quèré, H. Le Capitaine, N. Fraisseix, and C. Frélicot

q Financial Forecasting with Gompertz Multiple Kernel LearningHan Qin, Dejing Dou, and Yue Fang

q Leveraging D-Separation for Relational Data SetsMatthew J.H. Rattigan and David Jensen

q Factorization MachinesSteffen Rendle


Papers by Session

q Accelerating Dynamic Time Warping Subsequence Search with GPUsand FPGAs

Doruk Sart, Abdullah Mueen, Walid Najjar, Eamonn Keogh, and Vit Niennattrakul

q An Approach for Automatic Sleep Stage Scoring and Apnea-Hypopnea DetectionTim Schlüter and Stefan Conrad

q Bonsai: Growing Interesting Small TreesStephan Seufert, Srikanta Bedathur, Julian Mestre, and Gerhard Weikum

q Mixed-Membership Stochastic Block-Models for Transactional NetworksMahdi Shafiei and Hugh Chipman

q Generalized Probabilistic Matrix Factorizations for Collaborative FilteringHanhuai Shan and Arindam Banerjee

q Topic Modeling EnsemblesZhiyong Shen, Ping Luo, Shengwen Yang, and Xukun Shen

q Interval-valued Matrix Factorization with ApplicationsZhiyong Shen, Liang Du, Xukun Shen, and Yidong Shen

q Efficient Semi-supervised Spectral Co-clustering with ConstraintsXiaoxiao Shi, Wei Fan, and Philip S. Yu

q Transfer Learning on Heterogenous Feature Spaces via Spectral TransformationXiaoxiao Shi, Qi Liu, Wei Fan, Philip S. Yu, and Ruixin Zhu


Papers by Session

q One-Class Matrix Completion with Low-Density FactorizationsVikas Sindhwani, Serhat S. Bucak, Jianying Hu, and Aleksandra Mojsilovic

q A System for Mining Temporal Physiological Data Streams for AdvancedPrognostic Decision Support

Jimeng Sun, Daby Sow, Jianying Hu, and Shahram Ebadollahi

q Averaged Stochastic Gradient Descent with Feedback: An Accurate, Robust,and Fast Training Method

Xu Sun, Hisashi Kashima, Takuya Matsuzaki, and Naonori Ueda

q Visualizing Graphs Using Minimum Spanning DendrogramsDaniel Svonava and Michail Vlachos

q Tru-Alarm: Trustworthiness Analysis of Sensor Networks in Cyber-PhysicalSystems

Lu-An Tang, Xiao Yu, Sangkyum Kim, Jiawei Han, Chih-Chieh Hung, and Wen-Chih Peng

q Node Similarities from Spreading ActivationKilian Thiel and Michael R. Berthold

q On the Vulnerability of Large GraphsHanghang Tong, B. Aditya Prakash, Charalampos Tsourakakis, Tina Eliassi-Rad,Christos Faloutsos, and Duen Horng Chau


Papers by Session

q Testing the Significance of Patterns in Data with Cluster StructureNiko Vuokko and Petteri Kaski

q Compressed Nonnegative Sparse CodingFei Wang and Ping Li

q Anonymizing Temporal DataKe Wang, Yabo Xu, Raymond Chi-Wing Wong, and Ada Wai-Chee Fu

q Homotopy Regularization for BoostingZheng Wang, Yangqiu Song, and Changshui Zhang

q What Do People Want in Microblogs? Measuring Interestingness of Hashtagsin Twitter

Jianshu Weng, Ee-Peng Lim, Qi He, and Cane Wing-Ki Leung

q Probabilistic Inference Protection on Anonymized DataRaymond Chi-Wing Wong, Ada Wai-Chee Fu, Ke Wang, Yabo Xu, Jian Pei, and Philip S. Yu

q Collaborative Learning between Visual Content and Hidden Semantic for ImageRetrieval

Jun Wu, Ming-Yu Lu, and Chun-Li Wang

q Max-Clique: A Top-Down Graph-Based Approach to Frequent Pattern MiningYan Xie and Philip S. Yu


Papers by Session

q Personalizing Web Page Recommendation via Collaborative Filteringand Topic-Aware Markov Model

Qingyan Yang, Ju Fan, Jianyong Wang, and Lizhu Zhou

q Passive Sampling for RegressionHwanjo Yu and Sungchul Kim

q Modeling Experts and Novices in Citizen Science Data for Species DistributionModeling

Jun Yu, Weng-Keen Wong, and Rebecca A. Hutchinson

q Causal Discovery from Streaming FeaturesKui Yu, Xindong Wu, Hao Wang, and Wei Ding

q ABS: The Anti Bouncing Model for Usage Data StreamsChongsheng Zhang, Florent Masseglia, and Yves Lechevallier

q Classifier and Cluster Ensembles for Mining Concept Drifting Data StreamsPeng Zhang, Xingquan Zhu, Jianlong Tan, and Li Guo

q Graph-Based Semi-supervised Learning with Adaptive Similarity EstimationXianchao Zhang, Yansheng Jiang, Wenxin Liang, and Xin Han

q K-AP: Generating Specified K Clusters by Efficient Affinity PropagationXiangliang Zhang, Wei Wang, Kjetil Nørvåg, and Michèle Sebag


Papers by Session

q MoodCast: Emotion Prediction via Dynamic Continuous Factor Graph ModelYuan Zhang, Jie Tang, Jimeng Sun, Yiran Chen, and Jinghai Rao

q Hierarchical Ensemble ClusteringLi Zheng, Tao Li, and Chris Ding

q Frequent Instruction Sequential Pattern Mining in Hardware Sample DataJia Zou, Jing Xiao, Rui Hou, and Yanqi Wang

q Efficient Episode Mining with Minimal and Non-overlapping OccurrencesHuisheng Zhu, Peng Wang, Xianmang He, Yujia Li, Wei Wang, and Baile Shi


Papers by Session

Tutorials

q Spatial and Spatio-temporal Data MiningVania Bogorny and Shashi Shekhar

q Knowledge Discovery in Academic Drug Discovery Programs: Opportunitiesand Challenges

Jun Huan

q How to Do Good Data Mining Research and Get it Published in Top VenuesEamonn Keogh

q Discovering Multiple Clustering Solutions: Grouping Objects in Different Viewsof the Data

Emmanuel Müller, Stephan Günnemann, Ines Färber, and Thomas Seidl


Papers by Author

Aq Abello, Jamesq Aggarwal, Charuq Agrawal, Gaganq Akoglu, Lemanq Al Hasan, Mohammadq Alamgir, Mortezaq Albrecht, Davidq Au, Dyngq Au, Tom S.q Aung, Zeyarq Aussem, Alex

Bq Bai, Bingq Bain, Michael

q Baladandayuthapani, Veerabhadranq Balakrishnan, Suhridq Banerjee, Arindamq Bao, Tengfeiq Baraglia, Ranieriq Bedathur, Srikantaq Bella, Antonioq Ben-Moshe, Boazq Berthold, Michael R.q Bhaduri, Kanishkaq Bhatnagar, Rajq Boden, Brigitteq Bogorny, Vaniaq Brodley, Carlyq Bucak, Serhat S.q Buntine, Wray Lindsay


Papers by Author

q Burdick, Brian

Cq Cai, Xiongcaiq Calabrese, Francescoq Calders, Toonq Calhoun, Vince D.q Camerra, Alessandroq Campagna, Andreaq Cao, Happiaq Cao, Longbingq Capra, Liciaq Caragea, Corneliaq Caragea, Doinaq Carbonell, Jaimeq Cebron, Nicolasq Chakraborty, Abhirup

q Chakravarthy, Sharmaq Chan, Shing-Kitq Chang, Kuiyuq Chau, Duen Horngq Chawla, Nitesh V.q Chawla, Sanjayq Chen, Boq Chen, Enhongq Chen, Qingq Chen, Weiq Chen, Xiq Chen, Yiranq Chen, Zhengq Cheng, Hongq Cheng, Weiq Chiky, Raja


Papers by Author

q Chipman, Hughq Choi, Seungjinq Chopra, Sumitq Compton, Paulq Conrad, Stefanq Cook, Diane J.q Cordeiro, Robson L.F.q Crowcroft, Jonq Cule, Boris

dq de Vries, Timothy

Dq Da Silva, Alzennyrq Dai, Boq Das, Kamalika

q Datta, Samikq Davidson, Ianq Davis, Jesseq De Francisci Morales, Gianmarcoq Deng, Hongboq Deng, Kunq Devanur, Nishchalq Dhillon, Inderjit S.q Di Lorenzo, Giusyq Ding, Chrisq Ding, Weiq Do, Trong Dinh Thacq Domeniconi, Carlottaq Dou, Dejingq Drumond, Lucasq Du, Jun


Papers by Author

q Du, Lanq Du, Liangq Duan, Rongq Duivesteijn, Wouter

Eq Ebadollahi, Shahramq Elghazel, Haythamq Eliassi-Rad, Tinaq Elkan, Charlesq Epps, Julien

Fq Faloutsos, Christosq Fan, Juq Fan, Weiq Fang, Yue

q Färber, Inesq Feelders, Adq Feng, Boqinq Ferri, Cèsarq Fraisseix, N.q Frélicot, C.q Freudenthaler, Christophq Froehlich, Jonq Fu, Ada Wai-Cheeq Fu, Hongping

Gq Gantner, Zenoq Gao, Huijiq Gao, Jingq Gao, Xuedongq Garboni, Calin


Papers by Author

q Giannakopoulos, Georgeq Gieseke, Fabianq Girgin, Sertanq Goethals, Bartq Goodrich, Benq Gopalkrishnan, Vivekanandq Gullo, Francescoq Günnemann, Stephanq Guo, Fanq Guo, Liq Guo, Yuanyuanq Gwadera, Robert

Hq Hämäläinen, Wilhelmiinaq Han, Eui-Hongq Han, Jiawei

q Han, Xinq Han, Yueq Haverkamp, Donna S.q Hayashi, Koheiq He, Jingruiq He, Qiq He, Qingq He, Xianmangq Hebrail, Georgesq Hernández-Orallo, Joséq Hoens, T. Ryanq Hoi, Steven C.H.q Honavar, Vasantq Horne, James H.q Hou, Ruiq Houle, Michael E.


Papers by Author

q Hu, Baogangq Hu, Jianyingq Hu, Zhenq Huan, Junq Huang, Hengq Huang, Jianbinq Huang, Yalouq Hughes, Ellen K.q Hung, Chih-Chiehq Hutchinson, Rebecca A.

Iq Ikeda, Kazushiq Ioffe, Sergeyq Ishigaki, Tsukasa

Jq Jain, Rameshq Jaroszewicz, Szymonq Jensen, Davidq Jiang, Pengq Jiang, Xiaohongq Jiang, Yanshengq Jin, Huidongq Jin, Xiaoming

Kq Kabbur, Santoshq Kabir, Md. Enamulq Kalousis, Alexandrosq Kamiran, Faisalq Kamiya, Yuki


Papers by Author

q Kang, U.q Karypis, Georgeq Kashima, Hisashiq Kaski, Petteriq Kato, Daishiq Keogh, Eamonnq Khan, Latifurq Kim, Gunheeq Kim, Heeyoungq Kim, Sangkyumq Kim, Sungchulq Kim, Yang Sokq Kitts, Brendanq Knobbe, Arnoq Kong, Xiangnanq König, Arnd Christian

q Krzywicki, Alfredq Kukar, Matjažq Kunieda, Kazuoq Kutsuna, Takuro

Lq Lai, Jian-Huangq Lam, Waiq Lane, Terranq Lathia, Nealq Laurent, Anneq Le Capitaine, H.q Lechevallier, Yvesq Leskovec, Jureq Leung, Cane Wing-Kiq Li, Guangxiaq Li, Juanzi


Papers by Author

q Li, Pingq Li, Taoq Li, Weiq Li, Yujiaq Li, Zhongmouq Liang, Wenxinq Lim, Ee-Pengq Lin, Qihangq Ling, Charles X.q Liu, Boq Liu, Huanq Liu, Jieq Liu, Junqiangq Liu, Ningq Liu, Qiq Liu, Sen

q Liu, Tantanq Liu, Yanchiq Long, Mingshengq Lowd, Danielq Lu, Ming-Yuq Lu, Zhengdongq Lucchese, Claudioq Luo, Dijunq Luo, Ping

Mq Ma, Guang-Qinq Ma, Tengfeiq Mahidadia, Asheshq Mahnic, Viljanq Majumder, Anirbanq Malher, Sébastien


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q Mary, Jeremieq Masseglia, Florentq Masud, Mohammad M.q Matsuzaki, Takuyaq McGlohon, Maryq McLachlan, Geoffq Mei, Qiaozhuq Menon, Aditya Krishnaq Mestre, Julianq Miettinen, Pauliq Mojsilovic, Aleksandraq Moruz, Gabrielq Motomura, Yoichiq Mueen, Abdullahq Müller, Emmanuelq Muthukrishnan, Pradeep

Nq Najjar, Walidq Navas, Marioq Nettleton, Ericq Nguyen, Namq Nicol, Olivierq Niennattrakul, Vitq Niu, Gangq Niu, Xiaodaq Niu, Zhendongq Nørvåg, Kjetilq Noto, Keith

Oq Ojala, Markusq Ordonez, Carlos


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q Oza, Nikunj C.

Pq Pagh, Rasmusq Palpanas, Themisq Park, Sunhoq Pathak, Nishithq Pechenizkiy, Mykolaq Pei, Jianq Peng, Wen-Chihq Plis, Sergey M.q Ponti, Giovanniq Powter, Amandaq Poženel, Markoq Prakash, B. Adityaq Preux, Philippe

Qq Qi, Yanjunq Qin, Hanq Qiu, Yangq Quercia, Danieleq Quèré, R.

Rq Radev, Dragomirq Raeder, Troyq Ramírez-Quintana, María Joséq Ramos, Fabioq Rao, Jinghaiq Rashidi, Parisaq Ratanamahatana, Chotirat Annq Rattigan, Matthew J.H.


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q Rendle, Steffenq Rzepakowski, Piotr

Sq Sarne, Davidq Sart, Dorukq Savas, Berkantq Schlüter, Timq Schmidt-Thieme, Larsq Scott, Stephenq Sebag, Michèleq Seidl, Thomasq Seufert, Stephanq Shafiei, Mahdiq Shaham, Eranq Shan, Hanhuaiq Shekhar, Shashi

q Shen, Douq Shen, Xukunq Shen, Yidongq Shen, Zhiyongq Shi, Baileq Shi, Xiaoxiaoq Shi, Zhongzhiq Shibata, Tomohiroq Shieh, Jinq Shrivastava, Nisheethq Silvescu, Adrianq Sim, Kelvinq Sindhwani, Vikasq Slonim, Donnaq Song, Yangqiuq Sow, Daby


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q Srivastava, Ashok N.q Srivastava, Jaideepq Sun, Heliq Sun, Jimengq Sun, Xuq Svonava, Daniel

Tq Tagarelli, Andreaq Takenaka, Takeshiq Takenouchi, Takashiq Tan, Jianlongq Tang, Jieq Tang, Leiq Tang, Liangq Tang, Lu-Anq Tang, Wei

q Tao, Dachengq Tatti, Nikolajq Telang, Adityaq Termier, Alexandreq Thiel, Kilianq Thuraisingham, Bhavaniq Tian, Jileiq Ting, Kai Mingq Tischer, Peterq Toivonen, Hannuq Tong, Hanghangq Traina Jr., Caetanoq Traina, Agma J.M.q Tsang, Ivorq Tsourakakis, Charalampos


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Uq Ueda, Naonori

vq van Leeuwen, Matthijsq von Luxburg, Ulrike

Vq Vahrenhold, Janq Venkatachalam, Aravindq Vinh, Nguyen Xuanq Vlachos, Michailq Vuokko, Niko

Wq Wan, Xiaojun

q Wang, Chang-Dongq Wang, Chun-Liq Wang, Dingdingq Wang, Fanq Wang, Feiq Wang, Haoq Wang, Huaq Wang, Jianminq Wang, Jianyongq Wang, Keq Wang, Pengq Wang, Weiq Wang, Xiangq Wang, Xufeiq Wang, Yanqiq Wang, Zheng


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q Wei, Liangq Weikum, Gerhardq Wells, Jonathan R.q Weng, Jianshuq Wobcke, Wayneq Wong, Raymond Chi-Wingq Wong, Tak-Lamq Wong, Weng-Keenq Woznica, Adamq Wu, Junq Wu, Junjieq Wu, Xindongq Wu, Yao

Xq Xia, Chaolunq Xiao, Jing

q Xiao, Yanshanq Xie, Yanq Xiong, Huiq Xiong, Yuhongq Xu, Yabo

Yq Yamada, Keijiq Yan, Junq Yan, Shuichengq Yang, Jaewonq Yang, Qingq Yang, Qingyanq Yang, Shengwenq Yang, Ziq Yildirim, Hilmiq Yin, Jie


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q Yu, Hwanjoq Yu, Jeffrey Xuq Yu, Junq Yu, Kaiq Yu, Kuiq Yu, Leiq Yu, Philip S.q Yu, Xiaoq Yuan, Yifei

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q Zhang, Min-Lingq Zhang, Pengq Zhang, Xianchaoq Zhang, Xiangliangq Zhang, Yanchunq Zhang, Yiq Zhang, Yuanq Zhao, Peixiangq Zheng, Liq Zheng, Yalingq Zheng, Zeyuq Zhou, Aoyingq Zhou, Fangq Zhou, Hangq Zhou, Lizhuq Zhou, Tianyi


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q Zhou, Yangq Zhou, Zhi-Huaq Zhu, Huishengq Zhu, Jun-Yongq Zhu, Qiangq Zhu, Ruixinq Zhu, Xingquanq Zhuang, Fuzhenq Zou, Jia


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Abello, Jamesq Detecting Novel Discrepancies in Communication Networks

Aggarwal, Charuq Addressing Concept-Evolution in Concept-Drifting Data Streams

Agrawal, Gaganq Stratified Sampling for Data Mining on the Deep Web

Akoglu, Lemanq Patterns on the Connected Components of Terabyte-Scale Graphs

Al Hasan, Mohammadq SONNET: Efficient Approximate Nearest Neighbor Using Multi-core


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Alamgir, Mortezaq Multi-agent Random Walks for Local Clustering on Graphs

Albrecht, Davidq Accelerating Radius-Margin Parameter Selection for SVMs Using Geometric

Bounds

Au, Dyngq Attribution of Conversion Events to Multi-channel Media

Au, Tom S.q Spatiotemporal Event Detection in Mobility Network

Aung, Zeyarq Discovering Correlated Subspace Clusters in 3D Continuous-Valued Data


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Aussem, Alexq Feature Selection for Unsupervised Learning Using Random Cluster Ensembles

Bai, Bingq Learning Preferences with Millions of Parameters by Enforcing Sparsity

Bain, Michaelq Learning Collaborative Filtering and Its Application to People to People

Recommendation in Social Networks

Baladandayuthapani, Veerabhadranq On the Computation of Stochastic Search Variable Selection in Linear Regression

with UDFs


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Balakrishnan, Suhridq Two of a Kind or the Ratings Game? Adaptive Pairwise Preferences and Latent

Factor Models

Banerjee, Arindamq A Generalized Linear Threshold Model for Multiple Cascadesq Generalized Probabilistic Matrix Factorizations for Collaborative Filtering

Bao, Tengfeiq An Unsupervised Approach to Modeling Personalized Contexts of Mobile Users

Baraglia, Ranieriq Document Similarity Self-Join with MapReduce

Bedathur, Srikantaq Bonsai: Growing Interesting Small Trees


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Bella, Antonioq Quantification via Probability Estimators

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Bhaduri, Kanishkaq Fast and Flexible Multivariate Time Series Subsequence Search

Bhatnagar, Rajq Algorithm for Discovering Low-Variance 3-Clusters from Real-Valued Datasets


Papers by Author

Boden, Brigitteq Subspace Clustering Meets Dense Subgraph Mining: A Synthesis of Two

Paradigms

Bogorny, Vaniaq Spatial and Spatio-temporal Data Mining

Brodley, Carlyq Anomaly Detection Using an Ensemble of Feature Models

Bucak, Serhat S.q One-Class Matrix Completion with Low-Density Factorizations

Buntine, Wray Lindsayq Sequential Latent Dirichlet Allocation: Discover Underlying Topic Structures

within a Document


Papers by Author

Burdick, Brianq Attribution of Conversion Events to Multi-channel Media

Cai, Xiongcaiq Learning Collaborative Filtering and Its Application to People to People


Calabrese, Francescoq Recommending Social Events from Mobile Phone Location Data

Calders, Toonq Approximation of Frequentness Probability of Itemsets in Uncertain Dataq Discrimination Aware Decision Tree Learning

Calhoun, Vince D.q Permutations as Angular Data: Efficient Inference in Factorial Spaces


Papers by Author

Camerra, Alessandroq iSAX 2.0: Indexing and Mining One Billion Time Series

Campagna, Andreaq On Finding Frequent Patterns in Event Sequences

Cao, Happiaq An Unsupervised Approach to Modeling Personalized Contexts of Mobile Users

Cao, Longbingq Exploiting Local Data Uncertainty to Boost Global Outlier Detectionq SMILE: A Similarity-Based Approach for Multiple Instance Learning

Capra, Liciaq Mining Public Transport Usage for Personalised Intelligent Transport Systems


Papers by Author

Caragea, Corneliaq Abstraction Augmented Markov Models

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Carbonell, Jaimeq Rare Category Characterizationq Learning Preferences with Millions of Parameters by Enforcing Sparsity

Cebron, Nicolasq Active Improvement of Hierarchical Object Features under Budget Constraints

Chakraborty, Abhirupq SONNET: Efficient Approximate Nearest Neighbor Using Multi-core


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Chakravarthy, Sharmaq A Graph-Based Approach for Multi-folder Email Classification

Chan, Shing-Kitq Pseudo Conditional Random Fields: Joint Training Approach to Segmenting

and Labeling Sequence Data

Chang, Kuiyuq Micro-blogging Sentiment Detection by Collaborative Online Learning

Chau, Duen Horngq On the Vulnerability of Large Graphs

Chawla, Nitesh V.q Consequences of Variability in Classifier Performance Estimates


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Chawla, Sanjayq Finding Local Anomalies in Very High Dimensional Space

Chen, Boq Location and Scatter Matching for Dataset Shift in Text Mining

Chen, Enhongq An Unsupervised Approach to Modeling Personalized Contexts of Mobile Users

Chen, Qingq Addressing Concept-Evolution in Concept-Drifting Data Streams

Chen, Weiq Scalable Influence Maximization in Social Networks under the Linear Threshold

Model


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Chen, Xiq Learning Preferences with Millions of Parameters by Enforcing Sparsity

Chen, Yiranq MoodCast: Emotion Prediction via Dynamic Continuous Factor Graph Model

Chen, Zhengq A Novel Contrast Co-learning Framework for Generating High Quality Training

Data

Cheng, Hongq Clustering Large Attributed Graphs: An Efficient Incremental Approach

Cheng, Weiq Transfer Learning via Cluster Correspondence Inference


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Chiky, Rajaq CLUSMASTER: A Clustering Approach for Sampling Data Streams in Sensor

Networks

Chipman, Hughq Mixed-Membership Stochastic Block-Models for Transactional Networks

Choi, Seungjinq Bayesian Aggregation of Binary Classifiers

Chopra, Sumitq Two of a Kind or the Ratings Game? Adaptive Pairwise Preferences and Latent

Factor Models


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Compton, Paulq Learning Collaborative Filtering and Its Application to People to People


Conrad, Stefanq An Approach for Automatic Sleep Stage Scoring and Apnea-Hypopnea Detection

Cook, Diane J.q Mining Sensor Streams for Discovering Human Activity Patterns over Time

Cordeiro, Robson L.F.q QMAS: Querying, Mining and Summarization of Multi-modal Databases

Crowcroft, Jonq Recommending Social Events from Mobile Phone Location Data


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Cule, Borisq Mining Closed Strict Episodes

Da Silva, Alzennyrq CLUSMASTER: A Clustering Approach for Sampling Data Streams in Sensor

Networks

Dai, Boq Bayesian Maximum Margin Clustering

Das, Kamalikaq Block-GP: Scalable Gaussian Process Regression for Multimodal Data

Datta, Samikq Viral Marketing for Multiple Products


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Davidson, Ianq Active Spectral Clustering

Davis, Jesseq Learning Markov Network Structure with Decision Trees

De Francisci Morales, Gianmarcoq Document Similarity Self-Join with MapReduce

de Vries, Timothyq Finding Local Anomalies in Very High Dimensional Space

Deng, Hongboq gSkeletonClu: Density-Based Network Clustering via Structure-Connected Tree

Division or Agglomeration


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Deng, Kunq Active Learning from Multiple Noisy Labelers with Varied Costs

Devanur, Nishchalq Detecting Novel Discrepancies in Communication Networks

Dhillon, Inderjit S.q Supervised Link Prediction Using Multiple Sources

Di Lorenzo, Giusyq Recommending Social Events from Mobile Phone Location Data

Ding, Chrisq Towards Structural Sparsity: An Explicit l2/l0 Approachq Weighted Feature Subset Non-negative Matrix Factorization and Its Applications

to Document Understanding


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q Hierarchical Ensemble Clustering

Ding, Weiq Causal Discovery from Streaming Features

Do, Trong Dinh Thacq PGLCM: Efficient Parallel Mining of Closed Frequent Gradual Itemsets

Domeniconi, Carlottaq Enhancing Single-Objective Projective Clustering Ensembles

Dou, Dejingq Financial Forecasting with Gompertz Multiple Kernel Learning

Drumond, Lucasq Learning Attribute-to-Feature Mappings for Cold-Start Recommendations


Papers by Author

Du, Junq Active Learning with Human-Like Noisy Oracle

Du, Lanq Sequential Latent Dirichlet Allocation: Discover Underlying Topic Structures

within a Document

Du, Liangq Interval-valued Matrix Factorization with Applications

Duan, Rongq Spatiotemporal Event Detection in Mobility Network

Duivesteijn, Wouterq Subgroup Discovery Meets Bayesian Networks—An Exceptional Model Mining

Approach


Papers by Author

Ebadollahi, Shahramq A System for Mining Temporal Physiological Data Streams for Advanced

Prognostic Decision Support

Elghazel, Haythamq Feature Selection for Unsupervised Learning Using Random Cluster Ensembles

Eliassi-Rad, Tinaq Detecting Novel Discrepancies in Communication Networksq On the Vulnerability of Large Graphs

Elkan, Charlesq A Log-Linear Model with Latent Features for Dyadic Prediction


Papers by Author

Epps, Julienq minCEntropy: A Novel Information Theoretic Approach for the Generation

of Alternative Clusterings

Faloutsos, Christosq Mining Billion-node Graphs: Patterns, Generators and Toolsq QMAS: Querying, Mining and Summarization of Multi-modal Databasesq Patterns on the Connected Components of Terabyte-Scale Graphsq On the Vulnerability of Large Graphs

Fan, Juq Personalizing Web Page Recommendation via Collaborative Filtering

and Topic-Aware Markov Model

Fan, Weiq Efficient Semi-supervised Spectral Co-clustering with Constraints


Papers by Author

q Transfer Learning on Heterogenous Feature Spaces via Spectral Transformation

Fang, Yueq Financial Forecasting with Gompertz Multiple Kernel Learning

Färber, Inesq Subspace Clustering Meets Dense Subgraph Mining: A Synthesis of Two

Paradigmsq Discovering Multiple Clustering Solutions: Grouping Objects in Different Views

of the Data

Feelders, Adq Subgroup Discovery Meets Bayesian Networks—An Exceptional Model Mining

Approachq Monotone Relabeling in Ordinal Classification


Papers by Author

Feng, Boqinq gSkeletonClu: Density-Based Network Clustering via Structure-Connected Tree


Ferri, Cèsarq Quantification via Probability Estimators

Fraisseix, N.q On Normalizing Fuzzy Coincidence Matrices to Compare Fuzzy

and/or Possibilistic Partitions with the Rand Index

Frélicot, C.q On Normalizing Fuzzy Coincidence Matrices to Compare Fuzzy


Freudenthaler, Christophq Learning Attribute-to-Feature Mappings for Cold-Start Recommendations


Papers by Author

Froehlich, Jonq Mining Public Transport Usage for Personalised Intelligent Transport Systems

Fu, Ada Wai-Cheeq Anonymizing Temporal Dataq Probabilistic Inference Protection on Anonymized Data

Fu, Hongpingq An Approach Based on Tree Kernels for Opinion Mining of Online Product

Reviews

Gantner, Zenoq Learning Attribute-to-Feature Mappings for Cold-Start Recommendations

Gao, Huijiq Discovering Overlapping Groups in Social Media


Papers by Author

Gao, Jingq Addressing Concept-Evolution in Concept-Drifting Data Streams

Gao, Xuedongq Understanding of Internal Clustering Validation Measures

Garboni, Calinq Approximation of Frequentness Probability of Itemsets in Uncertain Data

Giannakopoulos, Georgeq The Effect of History on Modeling Systems’ Performance: The Problem of

the Demanding Lord

Gieseke, Fabianq Resilient K-d Trees: K-Means in Space Revisited


Papers by Author

Girgin, Sertanq Advertising Campaigns Management: Should We Be Greedy?

Goethals, Bartq Approximation of Frequentness Probability of Itemsets in Uncertain Data

Goodrich, Benq Accelerating Radius-Margin Parameter Selection for SVMs Using Geometric

Bounds

Gopalkrishnan, Vivekanandq Discovering Correlated Subspace Clusters in 3D Continuous-Valued Data

Gullo, Francescoq Enhancing Single-Objective Projective Clustering Ensembles


Papers by Author

q Minimizing the Variance of Cluster Mixture Models for Clustering UncertainObjects

Günnemann, Stephanq Subspace Clustering Meets Dense Subgraph Mining: A Synthesis of Two


of the Data

Guo, Fanq QMAS: Querying, Mining and Summarization of Multi-modal Databases

Guo, Liq Classifier and Cluster Ensembles for Mining Concept Drifting Data Streams

Guo, Yuanyuanq An Extensive Empirical Study on Semi-supervised Learning


Papers by Author

Gwadera, Robertq Multi-stream Join Answering for Mining Significant Cross-Stream Correlations

Hämäläinen, Wilhelmiinaq Efficient Discovery of the Top-K Optimal Dependency Rules with Fisher’s Exact

Test of Significance

Han, Eui-Hongq Content-Based Methods for Predicting Web-Site Demographic Attributes

Han, Jiaweiq gSkeletonClu: Density-Based Network Clustering via Structure-Connected Tree

Division or Agglomerationq Addressing Concept-Evolution in Concept-Drifting Data Streamsq Tru-Alarm: Trustworthiness Analysis of Sensor Networks in Cyber-Physical

Systems


Papers by Author

Han, Xinq Graph-Based Semi-supervised Learning with Adaptive Similarity Estimation

Han, Yueq A Variance Reduction Framework for Stable Feature Selection

Haverkamp, Donna S.q QMAS: Querying, Mining and Summarization of Multi-modal Databases

Hayashi, Koheiq Exponential Family Tensor Factorization for Missing-Values Prediction

and Anomaly Detection

He, Jingruiq Rare Category Characterization


Papers by Author

He, Qiq What Do People Want in Microblogs? Measuring Interestingness of Hashtags

in Twitter

He, Qingq D-LDA: A Topic Modeling Approach without Constraint Generation

for Semi-defined Classification

He, Xianmangq Efficient Episode Mining with Minimal and Non-overlapping Occurrences

Hebrail, Georgesq CLUSMASTER: A Clustering Approach for Sampling Data Streams in Sensor

Networks

Hernández-Orallo, Joséq Quantification via Probability Estimators


Papers by Author

Hoens, T. Ryanq Consequences of Variability in Classifier Performance Estimates

Hoi, Steven C.H.q Micro-blogging Sentiment Detection by Collaborative Online Learning

Honavar, Vasantq Abstraction Augmented Markov Models

Horne, James H.q QMAS: Querying, Mining and Summarization of Multi-modal Databases

Hou, Ruiq Frequent Instruction Sequential Pattern Mining in Hardware Sample Data


Papers by Author

Houle, Michael E.q Finding Local Anomalies in Very High Dimensional Space

Hu, Baogangq Bayesian Maximum Margin Clustering

Hu, Jianyingq One-Class Matrix Completion with Low-Density Factorizationsq A System for Mining Temporal Physiological Data Streams for Advanced


Hu, Zhenq Algorithm for Discovering Low-Variance 3-Clusters from Real-Valued Datasets


Papers by Author

Huan, Junq Knowledge Discovery in Academic Drug Discovery Programs: Opportunities

and Challenges

Huang, Hengq Towards Structural Sparsity: An Explicit l2/l0 Approach

Huang, Jianbinq gSkeletonClu: Density-Based Network Clustering via Structure-Connected Tree


Huang, Yalouq Training Conditional Random Fields Using Transfer Learning for Gesture

Recognition

Hughes, Ellen K.q QMAS: Querying, Mining and Summarization of Multi-modal Databases


Papers by Author

Hung, Chih-Chiehq Tru-Alarm: Trustworthiness Analysis of Sensor Networks in Cyber-Physical

Systems

Hutchinson, Rebecca A.q Modeling Experts and Novices in Citizen Science Data for Species Distribution

Modeling

Ikeda, Kazushiq Exponential Family Tensor Factorization for Missing-Values Prediction


Ioffe, Sergeyq Improved Consistent Sampling, Weighted Minhash and L1 Sketching


Papers by Author

Ishigaki, Tsukasaq Category Mining by Heterogeneous Data Fusion Using PdLSI Model in a Retail

Service

Jain, Rameshq Micro-blogging Sentiment Detection by Collaborative Online Learning

Jaroszewicz, Szymonq Decision Trees for Uplift Modeling

Jensen, Davidq Leveraging D-Separation for Relational Data Sets

Jiang, Pengq An Approach Based on Tree Kernels for Opinion Mining of Online Product

Reviews


Papers by Author

Jiang, Xiaohongq Efficient Probabilistic Latent Semantic Analysis with Sparsity Control

Jiang, Yanshengq Graph-Based Semi-supervised Learning with Adaptive Similarity Estimation

Jin, Huidongq Sequential Latent Dirichlet Allocation: Discover Underlying Topic Structures

within a Document

Jin, Xiaomingq Transfer Learning via Cluster Correspondence Inference

Kabbur, Santoshq Content-Based Methods for Predicting Web-Site Demographic Attributes


Papers by Author

Kabir, Md. Enamulq A Pairwise-Systematic Microaggregation for Statistical Disclosure Control

Kalousis, Alexandrosq Adaptive Distances on Sets of Vectors

Kamiran, Faisalq Discrimination Aware Decision Tree Learning

Kamiya, Yukiq Exponential Family Tensor Factorization for Missing-Values Prediction


Kang, U.q Patterns on the Connected Components of Terabyte-Scale Graphs


Papers by Author

Karypis, Georgeq Content-Based Methods for Predicting Web-Site Demographic Attributes

Kashima, Hisashiq Averaged Stochastic Gradient Descent with Feedback: An Accurate, Robust,

and Fast Training Method

Kaski, Petteriq Testing the Significance of Patterns in Data with Cluster Structure

Kato, Daishiq Exponential Family Tensor Factorization for Missing-Values Prediction


Keogh, Eamonnq iSAX 2.0: Indexing and Mining One Billion Time Series


Papers by Author

q Polishing the Right Apple: Anytime Classification Also Benefits Data Streamswith Constant Arrival Times

q Mother Fugger: Mining Historical Manuscripts with Local Color Patchesq Data Editing Techniques to Allow the Application of Distance-Based Outlier

Detection to Streamsq Accelerating Dynamic Time Warping Subsequence Search with GPUs

and FPGAsq How to Do Good Data Mining Research and Get it Published in Top Venues

Khan, Latifurq Addressing Concept-Evolution in Concept-Drifting Data Streams

Kim, Gunheeq QMAS: Querying, Mining and Summarization of Multi-modal Databases

Kim, Heeyoungq Spatiotemporal Event Detection in Mobility Network


Papers by Author

Kim, Sangkyumq Tru-Alarm: Trustworthiness Analysis of Sensor Networks in Cyber-Physical

Systems

Kim, Sungchulq Passive Sampling for Regression

Kim, Yang Sokq Learning Collaborative Filtering and Its Application to People to People


Kitts, Brendanq Attribution of Conversion Events to Multi-channel Media


Papers by Author

Knobbe, Arnoq Subgroup Discovery Meets Bayesian Networks—An Exceptional Model Mining

Approach

Kong, Xiangnanq Multi-label Feature Selection for Graph Classification

König, Arnd Christianq Learning a Bi-Stochastic Data Similarity Matrix

Krzywicki, Alfredq Learning Collaborative Filtering and Its Application to People to People


Kukar, Matjažq Separation of Interleaved Web Sessions with Heuristic Search


Papers by Author

Kunieda, Kazuoq Exponential Family Tensor Factorization for Missing-Values Prediction


Kutsuna, Takuroq A Binary Decision Diagram-Based One-Class Classifier

Lai, Jian-Huangq A Conscience On-line Learning Approach for Kernel-Based Clustering

Lam, Waiq Pseudo Conditional Random Fields: Joint Training Approach to Segmenting

and Labeling Sequence Dataq Location and Scatter Matching for Dataset Shift in Text Mining


Papers by Author

Lane, Terranq Permutations as Angular Data: Efficient Inference in Factorial Spaces

Lathia, Nealq Mining Public Transport Usage for Personalised Intelligent Transport Systemsq Recommending Social Events from Mobile Phone Location Data

Laurent, Anneq PGLCM: Efficient Parallel Mining of Closed Frequent Gradual Itemsets

Le Capitaine, H.q On Normalizing Fuzzy Coincidence Matrices to Compare Fuzzy


Lechevallier, Yvesq ABS: The Anti Bouncing Model for Usage Data Streams


Papers by Author

Leskovec, Jureq Modeling Information Diffusion in Implicit Networks

Leung, Cane Wing-Kiq What Do People Want in Microblogs? Measuring Interestingness of Hashtags

in Twitter

Li, Guangxiaq Micro-blogging Sentiment Detection by Collaborative Online Learning

Li, Juanziq Term Filtering with Bounded Error

Li, Pingq Learning a Bi-Stochastic Data Similarity Matrixq Compressed Nonnegative Sparse Coding


Papers by Author

Li, Taoq LogTree: A Framework for Generating System Events from Raw Textual Logsq Weighted Feature Subset Non-negative Matrix Factorization and Its Applications

to Document Understandingq Hierarchical Ensemble Clustering

Li, Weiq Term Filtering with Bounded Error

Li, Yujiaq Efficient Episode Mining with Minimal and Non-overlapping Occurrences

Li, Zhongmouq Detecting Blackhole and Volcano Patterns in Directed Networksq Understanding of Internal Clustering Validation Measures


Papers by Author

Liang, Wenxinq Graph-Based Semi-supervised Learning with Adaptive Similarity Estimation

Lim, Ee-Pengq What Do People Want in Microblogs? Measuring Interestingness of Hashtags

in Twitter

Lin, Qihangq Learning Preferences with Millions of Parameters by Enforcing Sparsity

Ling, Charles X.q Active Learning with Human-Like Noisy Oracle

Liu, Boq Exploiting Local Data Uncertainty to Boost Global Outlier Detectionq SMILE: A Similarity-Based Approach for Multiple Instance Learning


Papers by Author

Liu, Huanq Discovering Overlapping Groups in Social Media

Liu, Jieq Training Conditional Random Fields Using Transfer Learning for Gesture

Recognition

Liu, Junqiangq Enforcing Vocabulary k-Anonymity by Semantic Similarity Based Clustering

Liu, Ningq A Novel Contrast Co-learning Framework for Generating High Quality Training

Data

Liu, Qiq Transfer Learning on Heterogenous Feature Spaces via Spectral Transformation


Papers by Author

Liu, Senq Efficient Probabilistic Latent Semantic Analysis with Sparsity Control

Liu, Tantanq Stratified Sampling for Data Mining on the Deep Web

Liu, Yanchiq Detecting Blackhole and Volcano Patterns in Directed Networksq Understanding of Internal Clustering Validation Measures

Long, Mingshengq Transfer Learning via Cluster Correspondence Inference

Lowd, Danielq Learning Markov Network Structure with Decision Trees


Papers by Author

Lu, Ming-Yuq Collaborative Learning between Visual Content and Hidden Semantic for Image

Retrieval

Lu, Zhengdongq Supervised Link Prediction Using Multiple Sources

Lucchese, Claudioq Document Similarity Self-Join with MapReduce

Luo, Dijunq Towards Structural Sparsity: An Explicit l2/l0 Approach

Luo, Pingq D-LDA: A Topic Modeling Approach without Constraint Generation



Papers by Author

q Topic Modeling Ensembles

Ma, Guang-Qinq Spatiotemporal Event Detection in Mobility Network

Ma, Tengfeiq Multi-document Summarization Using Minimum Distortion

Mahidadia, Asheshq Learning Collaborative Filtering and Its Application to People to People


Mahnic, Viljanq Separation of Interleaved Web Sessions with Heuristic Search

Majumder, Anirbanq Viral Marketing for Multiple Products


Papers by Author

Malher, Sébastienq Network Simplification with Minimal Loss of Connectivity

Mary, Jeremieq Advertising Campaigns Management: Should We Be Greedy?

Masseglia, Florentq ABS: The Anti Bouncing Model for Usage Data Streams

Masud, Mohammad M.q Addressing Concept-Evolution in Concept-Drifting Data Streams

Matsuzaki, Takuyaq Averaged Stochastic Gradient Descent with Feedback: An Accurate, Robust,



Papers by Author

McGlohon, Maryq Patterns on the Connected Components of Terabyte-Scale Graphs

McLachlan, Geoffq Assessing the Significance of Groups in High-Dimensional Data

Mei, Qiaozhuq Edge Weight Regularization over Multiple Graphs for Similarity Learning

Menon, Aditya Krishnaq A Log-Linear Model with Latent Features for Dyadic Prediction

Mestre, Julianq Bonsai: Growing Interesting Small Trees


Papers by Author

Miettinen, Pauliq Sparse Boolean Matrix Factorizations

Mojsilovic, Aleksandraq One-Class Matrix Completion with Low-Density Factorizations

Moruz, Gabrielq Resilient K-d Trees: K-Means in Space Revisited

Motomura, Yoichiq Category Mining by Heterogeneous Data Fusion Using PdLSI Model in a Retail

Service

Mueen, Abdullahq Accelerating Dynamic Time Warping Subsequence Search with GPUs

and FPGAs


Papers by Author

Müller, Emmanuelq Discovering Multiple Clustering Solutions: Grouping Objects in Different Views

of the Data

Muthukrishnan, Pradeepq Edge Weight Regularization over Multiple Graphs for Similarity Learning

Najjar, Walidq Accelerating Dynamic Time Warping Subsequence Search with GPUs

and FPGAs

Navas, Marioq On the Computation of Stochastic Search Variable Selection in Linear Regression

with UDFs

Nettleton, Ericq Improving Kernel Methods through Complex Data Mapping


Papers by Author

Nguyen, Namq A New SVM Approach to Multi-instance Multi-label Learning

Nicol, Olivierq Advertising Campaigns Management: Should We Be Greedy?

Niennattrakul, Vitq Data Editing Techniques to Allow the Application of Distance-Based Outlier

Detection to Streamsq Accelerating Dynamic Time Warping Subsequence Search with GPUs

and FPGAs

Niu, Gangq Bayesian Maximum Margin Clustering


Papers by Author

Niu, Xiaodaq An Extensive Empirical Study on Semi-supervised Learning

Niu, Zhendongq An Approach Based on Tree Kernels for Opinion Mining of Online Product

Reviews

Nørvåg, Kjetilq K-AP: Generating Specified K Clusters by Efficient Affinity Propagation

Noto, Keithq Anomaly Detection Using an Ensemble of Feature Models

Ojala, Markusq Assessing Data Mining Results on Matrices with Randomization


Papers by Author

Ordonez, Carlosq On the Computation of Stochastic Search Variable Selection in Linear Regression

with UDFs

Oza, Nikunj C.q Fast and Flexible Multivariate Time Series Subsequence Search

Pagh, Rasmusq On Finding Frequent Patterns in Event Sequences

Palpanas, Themisq iSAX 2.0: Indexing and Mining One Billion Time Seriesq The Effect of History on Modeling Systems’ Performance: The Problem of

the Demanding Lord


Papers by Author

Park, Sunhoq Bayesian Aggregation of Binary Classifiers

Pathak, Nishithq A Generalized Linear Threshold Model for Multiple Cascades

Pechenizkiy, Mykolaq Discrimination Aware Decision Tree Learning

Pei, Jianq Probabilistic Inference Protection on Anonymized Data

Peng, Wen-Chihq Tru-Alarm: Trustworthiness Analysis of Sensor Networks in Cyber-Physical

Systems


Papers by Author

Plis, Sergey M.q Permutations as Angular Data: Efficient Inference in Factorial Spaces

Ponti, Giovanniq Minimizing the Variance of Cluster Mixture Models for Clustering Uncertain

Objects

Powter, Amandaq Attribution of Conversion Events to Multi-channel Media

Poženel, Markoq Separation of Interleaved Web Sessions with Heuristic Search

Prakash, B. Adityaq On the Vulnerability of Large Graphs


Papers by Author

Preux, Philippeq Advertising Campaigns Management: Should We Be Greedy?

Qi, Yanjunq Learning Preferences with Millions of Parameters by Enforcing Sparsity

Qin, Hanq Financial Forecasting with Gompertz Multiple Kernel Learning

Qiu, Yangq Constraint Based Dimension Correlation and Distance Divergence for Clustering

High-Dimensional Data

Quercia, Danieleq Recommending Social Events from Mobile Phone Location Data


Papers by Author

Quèré, R.q On Normalizing Fuzzy Coincidence Matrices to Compare Fuzzy


Radev, Dragomirq Edge Weight Regularization over Multiple Graphs for Similarity Learning

Raeder, Troyq Consequences of Variability in Classifier Performance Estimates

Ramírez-Quintana, María Joséq Quantification via Probability Estimators

Ramos, Fabioq Improving Kernel Methods through Complex Data Mapping


Papers by Author

Rao, Jinghaiq MoodCast: Emotion Prediction via Dynamic Continuous Factor Graph Model

Rashidi, Parisaq Mining Sensor Streams for Discovering Human Activity Patterns over Time

Ratanamahatana, Chotirat Annq Data Editing Techniques to Allow the Application of Distance-Based Outlier

Detection to Streams

Rattigan, Matthew J.H.q Leveraging D-Separation for Relational Data Sets

Rendle, Steffenq Learning Attribute-to-Feature Mappings for Cold-Start Recommendationsq Factorization Machines


Papers by Author

Rzepakowski, Piotrq Decision Trees for Uplift Modeling

Sarne, Davidq Co-clustering of Lagged Data

Sart, Dorukq Accelerating Dynamic Time Warping Subsequence Search with GPUs

and FPGAs

Savas, Berkantq Supervised Link Prediction Using Multiple Sources

Schlüter, Timq An Approach for Automatic Sleep Stage Scoring and Apnea-Hypopnea Detection


Papers by Author

Schmidt-Thieme, Larsq Learning Attribute-to-Feature Mappings for Cold-Start Recommendations

Scott, Stephenq Active Learning from Multiple Noisy Labelers with Varied Costs

Sebag, Michèleq K-AP: Generating Specified K Clusters by Efficient Affinity Propagation

Seidl, Thomasq Subspace Clustering Meets Dense Subgraph Mining: A Synthesis of Two


of the Data


Papers by Author

Seufert, Stephanq Bonsai: Growing Interesting Small Trees

Shafiei, Mahdiq Mixed-Membership Stochastic Block-Models for Transactional Networks

Shaham, Eranq Co-clustering of Lagged Data

Shan, Hanhuaiq Generalized Probabilistic Matrix Factorizations for Collaborative Filtering

Shekhar, Shashiq Spatial and Spatio-temporal Data Mining


Papers by Author

Shen, Douq Transfer Learning via Cluster Correspondence Inference

Shen, Xukunq Topic Modeling Ensemblesq Interval-valued Matrix Factorization with Applications

Shen, Yidongq Interval-valued Matrix Factorization with Applications

Shen, Zhiyongq D-LDA: A Topic Modeling Approach without Constraint Generation

for Semi-defined Classificationq Topic Modeling Ensemblesq Interval-valued Matrix Factorization with Applications


Papers by Author

Shi, Baileq Efficient Episode Mining with Minimal and Non-overlapping Occurrences

Shi, Xiaoxiaoq Efficient Semi-supervised Spectral Co-clustering with Constraintsq Transfer Learning on Heterogenous Feature Spaces via Spectral Transformation

Shi, Zhongzhiq D-LDA: A Topic Modeling Approach without Constraint Generation


Shibata, Tomohiroq Exponential Family Tensor Factorization for Missing-Values Prediction



Papers by Author

Shieh, Jinq iSAX 2.0: Indexing and Mining One Billion Time Seriesq Polishing the Right Apple: Anytime Classification Also Benefits Data Streams

with Constant Arrival Times

Shrivastava, Nisheethq Viral Marketing for Multiple Products

Silvescu, Adrianq Abstraction Augmented Markov Models

Sim, Kelvinq Discovering Correlated Subspace Clusters in 3D Continuous-Valued Data

Sindhwani, Vikasq One-Class Matrix Completion with Low-Density Factorizations


Papers by Author

Slonim, Donnaq Anomaly Detection Using an Ensemble of Feature Models

Song, Yangqiuq Homotopy Regularization for Boosting

Sow, Dabyq A System for Mining Temporal Physiological Data Streams for Advanced


Srivastava, Ashok N.q Fast and Flexible Multivariate Time Series Subsequence Searchq Block-GP: Scalable Gaussian Process Regression for Multimodal Data

Srivastava, Jaideepq A Generalized Linear Threshold Model for Multiple Cascades


Papers by Author

Sun, Heliq gSkeletonClu: Density-Based Network Clustering via Structure-Connected Tree


Sun, Jimengq A System for Mining Temporal Physiological Data Streams for Advanced

Prognostic Decision Supportq MoodCast: Emotion Prediction via Dynamic Continuous Factor Graph Model

Sun, Xuq Averaged Stochastic Gradient Descent with Feedback: An Accurate, Robust,


Svonava, Danielq Visualizing Graphs Using Minimum Spanning Dendrograms


Papers by Author

Tagarelli, Andreaq Enhancing Single-Objective Projective Clustering Ensemblesq Minimizing the Variance of Cluster Mixture Models for Clustering Uncertain

Objects

Takenaka, Takeshiq Category Mining by Heterogeneous Data Fusion Using PdLSI Model in a Retail

Service

Takenouchi, Takashiq Exponential Family Tensor Factorization for Missing-Values Prediction


Tan, Jianlongq Classifier and Cluster Ensembles for Mining Concept Drifting Data Streams


Papers by Author

Tang, Jieq Term Filtering with Bounded Errorq MoodCast: Emotion Prediction via Dynamic Continuous Factor Graph Model

Tang, Leiq Discovering Overlapping Groups in Social Media

Tang, Liangq LogTree: A Framework for Generating System Events from Raw Textual Logs

Tang, Lu-Anq Tru-Alarm: Trustworthiness Analysis of Sensor Networks in Cyber-Physical

Systems

Tang, Weiq Supervised Link Prediction Using Multiple Sources


Papers by Author

Tao, Dachengq NESVM: A Fast Gradient Method for Support Vector Machines

Tatti, Nikolajq Mining Closed Strict Episodes

Telang, Adityaq A Graph-Based Approach for Multi-folder Email Classification

Termier, Alexandreq PGLCM: Efficient Parallel Mining of Closed Frequent Gradual Itemsets

Thiel, Kilianq Node Similarities from Spreading Activation


Papers by Author

Thuraisingham, Bhavaniq Addressing Concept-Evolution in Concept-Drifting Data Streams

Tian, Jileiq An Unsupervised Approach to Modeling Personalized Contexts of Mobile Users

Ting, Kai Mingq Multi-dimensional Mass Estimation and Mass-based Clustering

Tischer, Peterq Accelerating Radius-Margin Parameter Selection for SVMs Using Geometric

Bounds

Toivonen, Hannuq Network Simplification with Minimal Loss of Connectivity


Papers by Author

Tong, Hanghangq Rare Category Characterizationq On the Vulnerability of Large Graphs

Traina Jr., Caetanoq QMAS: Querying, Mining and Summarization of Multi-modal Databases

Traina, Agma J.M.q QMAS: Querying, Mining and Summarization of Multi-modal Databases

Tsang, Ivorq Location and Scatter Matching for Dataset Shift in Text Mining

Tsourakakis, Charalamposq On the Vulnerability of Large Graphs


Papers by Author

Ueda, Naonoriq Averaged Stochastic Gradient Descent with Feedback: An Accurate, Robust,


Vahrenhold, Janq Resilient K-d Trees: K-Means in Space Revisited

van Leeuwen, Matthijsq Subgroup Discovery Meets Bayesian Networks—An Exceptional Model Mining

Approach

Venkatachalam, Aravindq A Graph-Based Approach for Multi-folder Email Classification


Papers by Author

Vinh, Nguyen Xuanq minCEntropy: A Novel Information Theoretic Approach for the Generation

of Alternative Clusterings

Vlachos, Michailq Visualizing Graphs Using Minimum Spanning Dendrograms

von Luxburg, Ulrikeq Multi-agent Random Walks for Local Clustering on Graphs

Vuokko, Nikoq Testing the Significance of Patterns in Data with Cluster Structure

Wan, Xiaojunq Multi-document Summarization Using Minimum Distortion


Papers by Author

Wang, Chang-Dongq A Conscience On-line Learning Approach for Kernel-Based Clustering

Wang, Chun-Liq Collaborative Learning between Visual Content and Hidden Semantic for Image

Retrieval

Wang, Dingdingq Weighted Feature Subset Non-negative Matrix Factorization and Its Applications

to Document Understanding

Wang, Fanq Stratified Sampling for Data Mining on the Deep Web

Wang, Feiq Learning a Bi-Stochastic Data Similarity Matrix


Papers by Author

q Compressed Nonnegative Sparse Coding

Wang, Haoq Causal Discovery from Streaming Features

Wang, Huaq A Pairwise-Systematic Microaggregation for Statistical Disclosure Control

Wang, Jianminq Transfer Learning via Cluster Correspondence Inference

Wang, Jianyongq Personalizing Web Page Recommendation via Collaborative Filtering


Wang, Keq Enforcing Vocabulary k-Anonymity by Semantic Similarity Based Clustering


Papers by Author

q Anonymizing Temporal Dataq Probabilistic Inference Protection on Anonymized Data

Wang, Pengq Efficient Episode Mining with Minimal and Non-overlapping Occurrences

Wang, Weiq K-AP: Generating Specified K Clusters by Efficient Affinity Propagationq Efficient Episode Mining with Minimal and Non-overlapping Occurrences

Wang, Xiangq Active Spectral Clustering

Wang, Xufeiq Discovering Overlapping Groups in Social Media


Papers by Author

Wang, Yanqiq Frequent Instruction Sequential Pattern Mining in Hardware Sample Data

Wang, Zhengq Homotopy Regularization for Boosting

Wei, Liangq Attribution of Conversion Events to Multi-channel Media

Weikum, Gerhardq Bonsai: Growing Interesting Small Trees

Wells, Jonathan R.q Multi-dimensional Mass Estimation and Mass-based Clustering


Papers by Author

Weng, Jianshuq What Do People Want in Microblogs? Measuring Interestingness of Hashtags

in Twitter

Wobcke, Wayneq Learning Collaborative Filtering and Its Application to People to People


Wong, Raymond Chi-Wingq Anonymizing Temporal Dataq Probabilistic Inference Protection on Anonymized Data

Wong, Tak-Lamq Location and Scatter Matching for Dataset Shift in Text Mining


Papers by Author

Wong, Weng-Keenq Modeling Experts and Novices in Citizen Science Data for Species Distribution

Modeling

Woznica, Adamq Adaptive Distances on Sets of Vectors

Wu, Junq Collaborative Learning between Visual Content and Hidden Semantic for Image

Retrieval

Wu, Junjieq Understanding of Internal Clustering Validation Measures

Wu, Xindongq 10 Years of Data Mining Research: Retrospect and Prospect


Papers by Author

q SMILE: A Similarity-Based Approach for Multiple Instance Learningq NESVM: A Fast Gradient Method for Support Vector Machinesq Causal Discovery from Streaming Features

Wu, Yaoq Constraint Based Dimension Correlation and Distance Divergence for Clustering

High-Dimensional Data

Xia, Chaolunq Efficient Probabilistic Latent Semantic Analysis with Sparsity Control

Xiao, Jingq Frequent Instruction Sequential Pattern Mining in Hardware Sample Data

Xiao, Yanshanq Exploiting Local Data Uncertainty to Boost Global Outlier Detectionq SMILE: A Similarity-Based Approach for Multiple Instance Learning


Papers by Author

Xie, Yanq Max-Clique: A Top-Down Graph-Based Approach to Frequent Pattern Mining

Xiong, Huiq An Unsupervised Approach to Modeling Personalized Contexts of Mobile Usersq Detecting Blackhole and Volcano Patterns in Directed Networksq Understanding of Internal Clustering Validation Measures

Xiong, Yuhongq D-LDA: A Topic Modeling Approach without Constraint Generation


Xu, Yaboq Anonymizing Temporal Dataq Probabilistic Inference Protection on Anonymized Data


Papers by Author

Yamada, Keijiq Exponential Family Tensor Factorization for Missing-Values Prediction


Yan, Junq A Novel Contrast Co-learning Framework for Generating High Quality Training

Data

Yan, Shuichengq A Novel Contrast Co-learning Framework for Generating High Quality Training

Data

Yang, Jaewonq Modeling Information Diffusion in Implicit Networks


Papers by Author

Yang, Qingq An Approach Based on Tree Kernels for Opinion Mining of Online Product

Reviews

Yang, Qingyanq Personalizing Web Page Recommendation via Collaborative Filtering


Yang, Shengwenq Topic Modeling Ensembles

Yang, Ziq Term Filtering with Bounded Error

Yildirim, Hilmiq SONNET: Efficient Approximate Nearest Neighbor Using Multi-core


Papers by Author

Yin, Jieq Exploiting Local Data Uncertainty to Boost Global Outlier Detectionq SMILE: A Similarity-Based Approach for Multiple Instance Learning

Yu, Hwanjoq Passive Sampling for Regression

Yu, Jeffrey Xuq Clustering Large Attributed Graphs: An Efficient Incremental Approach

Yu, Junq Modeling Experts and Novices in Citizen Science Data for Species Distribution

Modeling


Papers by Author

Yu, Kaiq Training Conditional Random Fields Using Transfer Learning for Gesture

Recognition

Yu, Kuiq Causal Discovery from Streaming Features

Yu, Leiq A Variance Reduction Framework for Stable Feature Selection

Yu, Philip S.q Multi-label Feature Selection for Graph Classificationq Exploiting Local Data Uncertainty to Boost Global Outlier Detectionq Efficient Semi-supervised Spectral Co-clustering with Constraintsq Transfer Learning on Heterogenous Feature Spaces via Spectral Transformationq Probabilistic Inference Protection on Anonymized Data


Papers by Author

q Max-Clique: A Top-Down Graph-Based Approach to Frequent Pattern Mining

Yu, Xiaoq Tru-Alarm: Trustworthiness Analysis of Sensor Networks in Cyber-Physical

Systems

Yuan, Yifeiq Scalable Influence Maximization in Social Networks under the Linear Threshold

Model

Zhang, Changshuiq Homotopy Regularization for Boosting

Zhang, Chongshengq ABS: The Anti Bouncing Model for Usage Data Streams


Papers by Author

Zhang, Chunxiaq An Approach Based on Tree Kernels for Opinion Mining of Online Product

Reviews

Zhang, Harryq An Extensive Empirical Study on Semi-supervised Learning

Zhang, Liq Scalable Influence Maximization in Social Networks under the Linear Threshold

Model

Zhang, Mingq A Novel Contrast Co-learning Framework for Generating High Quality Training

Data

Zhang, Min-Lingq Exploiting Unlabeled Data to Enhance Ensemble Diversity


Papers by Author

Zhang, Pengq Classifier and Cluster Ensembles for Mining Concept Drifting Data Streams

Zhang, Xianchaoq Constraint Based Dimension Correlation and Distance Divergence for Clustering

High-Dimensional Dataq Graph-Based Semi-supervised Learning with Adaptive Similarity Estimation

Zhang, Xiangliangq K-AP: Generating Specified K Clusters by Efficient Affinity Propagation

Zhang, Yanchunq A Pairwise-Systematic Microaggregation for Statistical Disclosure Control


Papers by Author

Zhang, Yiq Training Conditional Random Fields Using Transfer Learning for Gesture

Recognition

Zhang, Yuanq MoodCast: Emotion Prediction via Dynamic Continuous Factor Graph Model

Zhao, Peixiangq gSkeletonClu: Density-Based Network Clustering via Structure-Connected Tree


Zheng, Liq Hierarchical Ensemble Clustering

Zheng, Yalingq Active Learning from Multiple Noisy Labelers with Varied Costs


Papers by Author

Zheng, Zeyuq A Novel Contrast Co-learning Framework for Generating High Quality Training

Data

Zhou, Aoyingq Detecting Blackhole and Volcano Patterns in Directed Networks

Zhou, Fangq Network Simplification with Minimal Loss of Connectivity

Zhou, Hangq Improving Kernel Methods through Complex Data Mapping

Zhou, Lizhuq Personalizing Web Page Recommendation via Collaborative Filtering



Papers by Author

Zhou, Tianyiq NESVM: A Fast Gradient Method for Support Vector Machines

Zhou, Yangq Clustering Large Attributed Graphs: An Efficient Incremental Approach

Zhou, Zhi-Huaq Exploiting Unlabeled Data to Enhance Ensemble Diversity

Zhu, Huishengq Efficient Episode Mining with Minimal and Non-overlapping Occurrences

Zhu, Jun-Yongq A Conscience On-line Learning Approach for Kernel-Based Clustering


Papers by Author

Zhu, Qiangq Fast and Flexible Multivariate Time Series Subsequence Searchq Mother Fugger: Mining Historical Manuscripts with Local Color Patches

Zhu, Ruixinq Transfer Learning on Heterogenous Feature Spaces via Spectral Transformation

Zhu, Xingquanq Classifier and Cluster Ensembles for Mining Concept Drifting Data Streams

Zhuang, Fuzhenq D-LDA: A Topic Modeling Approach without Constraint Generation


Zou, Jiaq Frequent Instruction Sequential Pattern Mining in Hardware Sample Data


Papers by Author

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ICDM 2010 Conference Information The 10th IEEE ...ICDM 2010 The 10th IEEE International Conference on Data Mining 14-17 December 2010 Sydney, Australia Conference Information Papers